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    Wyświetlanie 1-12 z 12
    Tytuł:
    Aircraft docking guidance system to the gate using fuzzy logic
    Autorzy:
    Żurawski, P.
    Grzesik, N.
    Kuźma, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/243957.pdf
    Data publikacji:
    2018
    Wydawca:
    Instytut Techniczny Wojsk Lotniczych
    Tematy:
    fuzzy logic
    fuzzy expert system
    aircraft taxiing
    aircraft steering
    Opis:
    The article presents the concept of automated final process of aircraft taxiing to the gate at the terminal. On the basis of an analysis of the possibilities of aircraft taxiing in civil airports, the authors attempted at optimizing this process. The main objective of the project is to reduce the taxiing time, consequently reducing fuel consumption as well as the rotation time. As a result of the work, the authors designed a controller based on fuzzy logic, which, depending on the initial parameters, calculates the set values for the execution system of aircraft control in the horizontal plane and for the taxi speed. The controller receives two input signals, which determine two output signals. The designed controller allows comprehensive and fully automated aircraft steering. The project relies on data with regard to the apron class D, suited to handle aircraft with a wingspan of up to 52 m and the characteristics of a Boeing 767-200 in speed taxiing and the maximum turn of the nose gear. The measurements of the apron have been adopted in accordance with international regulations in the ICAO DOC 9157 “Aerodrome Design Manual”. The maximum deviation of the nose gear from the centre line was assumed 2.5 m in each direction and a safe distance behind the immobile aircraft equal to 25 m. The length of the Boeing aircraft 767-200 is below 48 m, therefore the input boundary parameters are equal to +/- 2.5 m from the centre line and 80 m from the designated aircraft stand (nose gear). The article presents the project of the controller and its optimization. The authors simulated the controller operation in the package MATLAB “Simulink”. The article ends with data analysis and final conclusions.
    Źródło:
    Journal of KONES; 2018, 25, 3; 549-556
    1231-4005
    2354-0133
    Pojawia się w:
    Journal of KONES
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The genetic fuzzy based proactive maintenance of a technical object
    Autorzy:
    Smoczek, J.
    Szpytko, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/246817.pdf
    Data publikacji:
    2012
    Wydawca:
    Instytut Techniczny Wojsk Lotniczych
    Tematy:
    proactive maintenance
    failure prediction
    fuzzy logic
    genetic algorithm
    Opis:
    The proactive maintenance is an effective approach to enhance the system availability through real time monitoring the current state of a system. The key part of this method is forecasting the nonoperational states for advanced warning of the failure possibility that can bring the attention of machines operators and maintenance personnel to impending danger facilitate planning preventive and corrective operations, and resources managing as well. The paper presents the HMI/SCADA-type application used to support decision-making process. The proposed approach to proactive maintenance is based on forecasting the remaining useful life of device equipment and delivering the user-defined maintenance strategy developed during system operation. The HMI/SCADA application is used to collect data in form of failures history, changes of operational conditions and performances of a monitored process between failures, as well as heuristic knowledge about process created by experienced user. The data history is used to design the predictive fuzzy models of time between failures of system equipment. The fuzzy predictive models are designed using the genetic algorithm applied to optimize the fuzzy partitions covering the training data examples, as well as to identify fuzzy predictive patterns represented by a set of rules in the knowledge base. The evolutionary learning strategy, which has been proposed in this paper, provides the effective reproduction techniques for searching the solution space with respect to optimization of knowledge base and membership functions according to the fitness function expressed as a ratio of compatibility of fuzzy partitions with data examples to root mean squares error. The proposed application was created and tested on the laboratory stand for monitoring the availability of the overhead travelling crane.
    Źródło:
    Journal of KONES; 2012, 19, 3; 399-405
    1231-4005
    2354-0133
    Pojawia się w:
    Journal of KONES
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The use of fuzzy expert system for an automatic control of the propulsion system in the aircraft ZLIN 143LSi
    Autorzy:
    Krok, B.
    Grzesik, N.
    Kuźma, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/242523.pdf
    Data publikacji:
    2018
    Wydawca:
    Instytut Techniczny Wojsk Lotniczych
    Tematy:
    fuzzy logic
    fuzzy expert system
    propulsion system
    aircraft Zlin 143LSi
    Opis:
    The article discusses the manner of controlling the propulsion system in the aircraft Zlin 143LSi, which is equipped with a piston engine driving a variable-pitch propeller. All the operating procedures are carried out manually by the pilot in accordance with the flight manual. The authors attempted at developing the project of a controller based on fuzzy logic, whose main goal was automating the control system of the propulsion unit, thus lowering the level of difficulty of pilotage, and increasing the economics of the operation. The project was made in an interactive environment FuzzyLogic Toolbox of the MATLAB programme. In the analysis, three input parameters were taken into account, exerting an impact on changing the rotational speed of the propeller: the charging pressure of the propulsion unit expressed in inches of mercury, the speed of the aircraft (TAS) in knots and the angle of attack, at which the flight is made, expressed in degrees. On the basis of the above-mentioned input signals, the rotation speed of the propeller was determined, by changing the blade pitch and the recommended angle of attack for the parameters in order to make an optimal use of the data of the flight conditions. The article presents the project of the controller and its optimization. The authors simulated the controller operation in the package MATLAB “Simulink”. The article ends with data analysis and final conclusions.
    Źródło:
    Journal of KONES; 2018, 25, 3; 307-314
    1231-4005
    2354-0133
    Pojawia się w:
    Journal of KONES
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Fuzzy logic and neural network approach to the indirect adaptive pole placement crane control system
    Autorzy:
    Smoczek, J.
    Szpytko, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/246396.pdf
    Data publikacji:
    2010
    Wydawca:
    Instytut Techniczny Wojsk Lotniczych
    Tematy:
    overhead crane
    indirect adaptive
    pole placement
    fuzzy logic
    neural network
    Opis:
    The problem under consideration in the paper of automation transportation operation realized by material handling devices is focused on time and accuracy of an overhead travelling crane's shifting process. The presented anti-sway crane control system was solved in the paper using combination of an indirect adaptive pole placement (IAPP) control method, fuzzy logic and artificial neural network. The presented approach to crane control is based on assuming structure of crane dynamic linear model with varying parameters, and linear closed-loop discrete control system consisting of proportional-derivative controllers with gains adjusted to changes of model's parameters using pole placement method (PPM). The parameters of crane dynamic model are estimated on-line using recursive least squares (RLS) algorithm. The estimation process is speeded up by neuro-fuzzy estimator, created using Takagi-Sugeno-Kang (TSK) fuzzy inference system, which determines the initial parameters of crane model based on scheduling variables, rope length and mass of a load changing in stochastic way. The neuro-fuzzy estimator is created in off-line process of neural network learning using least mean squares (LMS) method, based on a set of parametric output error models of crane dynamic identified for fixed values of rope length and mass of a load. The TSK estimator is next on-line improved by RLS algorithm.
    Źródło:
    Journal of KONES; 2010, 17, 2; 435-444
    1231-4005
    2354-0133
    Pojawia się w:
    Journal of KONES
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Genetic fuzzy approach to adaptive crane control system
    Autorzy:
    Smoczek, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/243018.pdf
    Data publikacji:
    2012
    Wydawca:
    Instytut Techniczny Wojsk Lotniczych
    Tematy:
    anti-sway crane control
    pole placement
    fuzzy logic
    genetic algorithm
    Opis:
    In automated manufacturing processes the safety, precise and fast transfer of goods realized by automated material handling devices is required to raise efficiency and productivity of manufacturing process. Hence, in those industrial branches where cranes are extensively used the problem of an anti-sway crane control is especially important to speed-up the time of transportation operations and ensures the safe and effective transportation operations. The precise positioning of a cargo requires controlling the speed of crane motion mechanisms to reduce the sway of a payload. Moreover, the anti-sway crane control scheme involves applying the adaptive techniques owing to the nonlinearities of a system that comes especially from stochastic variation of rope length on which a payload is suspended and mass of this payload. The paper provides the design method of an adaptive control system for a planar model of crane. The control system is based on the gain scheduling control scheme created using fuzzy logic controller with Takagi-Sugeno-Kang-type fuzzy implications. The design process of a gain scheduling control system consists in selecting such a suitable set of operating points at which the linear controllers are determined that interpolation control scheme ensures the expected control quality within the known range of nonlinear system parameters changes, when those parameters vary in relation to the exogenous variables: rope length and mass of a payload. The method that is proposed in this paper to solve the problem of designing the fuzzy gain scheduling crane control system for minimum set of operating points is based on the pole placement method and genetic algorithm.
    Źródło:
    Journal of KONES; 2012, 19, 4; 577-584
    1231-4005
    2354-0133
    Pojawia się w:
    Journal of KONES
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The survey of soft computing techniques for reliability prediction
    Autorzy:
    Smoczek, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/246835.pdf
    Data publikacji:
    2012
    Wydawca:
    Instytut Techniczny Wojsk Lotniczych
    Tematy:
    reliability prediction
    artificial intelligence
    fuzzy logic
    artificial neural network
    genetic algorithm
    Opis:
    The objective of reliability prediction is to estimate a time of upcoming nonoperational state at the current operational state of a system through real-time monitoring operational parameters and/or performances. Hence, the predictive (proactive) maintenance in industrial systems involves operational conditions monitoring and online forecasting the useful life of machines equipment to support the decision-making process in selection of the best maintenance action to be carried out. The advanced warning of the failure possibility can bring the attention of machines operators and maintenance personnel to impending danger, and facilitate planning preventive and corrective operations, as well as inventory managing. This problem has been extensively studied in many scientific works, where the predictive models are based on the data-driven approaches that can be generally divided into statistical techniques (regression, ARMA models, Bayesian probability distribution estimation, etc.), grey system theory, and soft computing methods. The artificial intelligence is frequently addressed to the predictive problem by utilizing the learning capability of artificial neural network (ANN), and possibility of nonlinear mapping using fuzzy rules-based system (FRBS) or recognizing and optimizing data-derived pattern by using evolutionary algorithms. The paper is a survey of intelligent methods for failure prediction, and delivers the review of examples of scientific works presenting the computational intelligence-based approaches to predictive problem.
    Źródło:
    Journal of KONES; 2012, 19, 3; 407-414
    1231-4005
    2354-0133
    Pojawia się w:
    Journal of KONES
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Fuzzy controller for underwater remotely operated vehicle which is moving in conditions of environment disturbance occurrence
    Autorzy:
    Żak, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/242025.pdf
    Data publikacji:
    2011
    Wydawca:
    Instytut Techniczny Wojsk Lotniczych
    Tematy:
    control
    fuzzy logic
    underwater remotely operated vehicle
    modelling of environment disturbance
    Opis:
    Oceans fill two-third surface of the Earth and they are house for majority alive organisms of our planet. However human possibilities of cognition of this environment are very limited. To defeat these limitations lots of scientists dealing with exploration of depths, concentrates on unmanned, remote-controlled underwater vehicle. From seventieth years happened the development of unmanned underwater vehicles which currently administering all characteristic attribute of robot, and have the possibility of shifting and manipulation, ability of technical surroundings' observation, and sometimes are making independent decision in typical situations. For control of all devices of robot responds the system of steering which holds supervision beginning from the propulsion and finishing on switching the video cameras and lighting. In robot's control system the functions of regulator in feedback the most often is realized by operator which is the onlooking working object on monitor installed in deck console. Nowadays more often automatic system of control is used, therefore in this paper such system will be proposed. The main aim of paper is to introduce the results of research concentrated on controlling remotely operated underwater vehicle during movement in conditions of environment disturbance occurrence. Firstly the mathematical model of example ROV is briefly discussed. Next the environment disturbance and its taking into account in mathematical models is shortly described. Next the proposed control system which is using technology of fuzzy logic is presented. At the end the example results of research on stabilizing movements' parameters of ROV during environment disturbance occurrence, using ROV simulator were presented. The paper is finished by summary which include conclusions derive from results of research.
    Źródło:
    Journal of KONES; 2011, 18, 2; 499-507
    1231-4005
    2354-0133
    Pojawia się w:
    Journal of KONES
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    On the possibility of fuzzy logic implementation in the area of machine and devices exploitation
    Analiza możliwości zastosowania logiki rozmytej w dziedzinie eksploatacji maszyn i urządzeń
    Autorzy:
    Pająk, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/243034.pdf
    Data publikacji:
    2007
    Wydawca:
    Instytut Techniczny Wojsk Lotniczych
    Tematy:
    eksploatacja
    logika rozmyta
    modelowanie rozmyte
    zbiory rozmyte
    exploitation
    exploitation systems
    fuzzy logic
    fuzzy modelling
    fuzzy sets
    Opis:
    The exploitation phase consists from big number of different processes. Therefore the optimal management of this phase is very complicated. To make it easier the computerization could be implemented. Some software applications are already put into practice in this filed but they are partial solutions. The comprehensive computerization of the exploitation phase management faces a lot of difficulties. The main reason of the problems is the approximate character of the analyzed processes and factors. Additionally the inaccuracy appears not only on the input data level but also in the algorithms and procedures of the exploitation phase management and control. In the paper the implementation of the fuzzy sets theory is presented. The fuzzy logic is used to model the approximate character of the analyzed processes. During the industry studies there were identified the fields where the fuzzy logic implementation could solve the computerization problems. In the paper the results of the studies are presented in the form of the idea of fuzzy logic implementation in the area of machine and devices exploitation.
    Podczas fazy eksploatacji maszyn i urządzeń zachodzi wiele procesów wykazujących odmienną charakterystykę. W związku z tym bardzo istotne jest poprawne kierowanie ich przebiegiem. Zadanie to jest zagadnieniem trudnym i złożonym, dlatego duże usługi na tym polu może oddać wprowadzenie komputeryzacji. Mimo, że na wielu obszarach eksploatacji maszyn i urządzeń pojawiło się wspomaganie komputerowe to jednak kompleksowa komputeryzacja kierowania fazą eksploatacji napotyka znaczne trudności. Trudności te związane są z występowaniem w licznych zagadnieniach eksploatacyjnych nieścisłego i przybliżonego charakteru analizowanych zjawisk i czynników. Co więcej niedokładność i nieokreśloność pojawia się zarówno na poziomie parametrów wejściowych do procesów decyzyjnych kierowania fazą eksploatacji jak i występuje w algorytmach i procedurach ich przebiegu. W opracowaniu proponuje się zastosowanie elementów teorii zbiorów rozmytych do modelowania niedokładności występujących w procesach kierowania fazą eksploatacji. W trakcie badań przeprowadzonych na rzeczywistych obiektach przemysłowych wyodrębniono szereg miejsc gdzie zastosowanie modelowania rozmytego może przynieść poprawę możliwości wprowadzenia wspomagania komputerowego procesów. W artykule przedstawiono wyniki badań w formie koncepcji zastosowania modelowania rozmytego w dziedzinie eksploatacji maszyn i urządzeń.
    Źródło:
    Journal of KONES; 2007, 14, 2; 335-345
    1231-4005
    2354-0133
    Pojawia się w:
    Journal of KONES
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Self-learning fuzzy predictor of exploitation system operating time
    Autorzy:
    Smoczek, J.
    Szpytko, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/247106.pdf
    Data publikacji:
    2011
    Wydawca:
    Instytut Techniczny Wojsk Lotniczych
    Tematy:
    operating time prediction
    fuzzy logic
    recursive least squares algorithm
    overhead travelling crane
    Opis:
    The probability that a system is capable to operate satisfactorily significantly depends on reliability and maintainability of a system. The disadvantage of classic methods of system availability determining is that the probability of realizing by system tasks with expected quality depends on history of operational states and does not take into consideration actual operational conditions that have strong influence on risk-degree of down-time occurring, while the probability of degradation failure in exploitation system is a function of operating time and actual exploitation conditions. The problem of failures prediction can be solved by applying in diagnostics methods the intelligent computational algorithms. The intelligence computational methods enable to create the diagnosis tools that allow to formulate the prognosis of operating time of a system and predict of failure occurring based on the past and actual information about system's operational state. The paper presents the fuzzy logic approach to forecast the prognoses of the operating time of the exploitation system or its equipments according to the specified exploitation conditions that characterize the system exploitation state at the current time. The fuzzy system was based on the Takagi-Sugeno-Kang type fuzzy implications with singletons specifies in conclusions of rules. The fuzzy inference system input variables are the assumed parameters according to which the current exploitation state of the considered system can be evaluated.
    Źródło:
    Journal of KONES; 2011, 18, 4; 463-469
    1231-4005
    2354-0133
    Pojawia się w:
    Journal of KONES
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Using fuzzy logic expert system for the estimation of the probability of armour penetration by PGU-14 shells fired from the GAU-8/A CA
    Autorzy:
    Opala, P.
    Grzesik, N.
    Kuźma, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/245144.pdf
    Data publikacji:
    2017
    Wydawca:
    Instytut Techniczny Wojsk Lotniczych
    Tematy:
    fuzzy logic
    fuzzy expert system
    armour penetration
    GAU-8/A cannon
    PGU 14 API shells
    Opis:
    The article discusses the possibility of armour penetration by PGU 14 API shells fired from the GAU-8/A cannon. The considerations focus on questions with regard to the probability of armour penetration with the initially established conditions in the project. In the analysis, the authors took into account three parameters: armour thickness, armour slope and target distance. Based on the initial parameters, the authors estimated the probability of armour penetration. The designed a fuzzy expert system in the MATLAB software as well as conducting simulation of its performance in the Simulink programmes. The authors presented the performance of the system based on twenty samples for research, which simulate different thickness of the target armour, different distance from the target and different slope of the armour. The authors presented control surfaces, due to which it is possible to analyse the system performance. They also show the simulation process in the Simulink software package with the preset values. On the basis of the created controller, it is clear that a well-developed system, which had undergone testing and optimization, is capable of calculating near reality probability values. The designed system might improve fire effectiveness of ground targets during air training and combat tasks, as well as optimizing the consumption of air-to-ground armour piercing (AP) shells.
    Źródło:
    Journal of KONES; 2017, 24, 4; 211-218
    1231-4005
    2354-0133
    Pojawia się w:
    Journal of KONES
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Fuzzy model of decision making process
    Rozmyty model procesu podejmowania decyzji
    Autorzy:
    Pająk, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/243961.pdf
    Data publikacji:
    2008
    Wydawca:
    Instytut Techniczny Wojsk Lotniczych
    Tematy:
    logika rozmyta
    modelowanie rozmyte
    zbiory rozmyte
    proces podejmowania decyzji
    analiza wielokryterialna
    fuzzy logic
    fuzzy modelling
    fuzzy sets
    decision making process
    multi-objective analysis
    Opis:
    Z problemem podejmowania decyzji można spotkać się w wielu dziedzinach ludzkiej aktywności. Podjęcie optymalnej lub suboptymalnej decyzji leży u podstaw wszelkiej działalności zarówno naukowej jak i przemysłowej. Niestety algorytmy pozwalające na automatyzację procesu podejmowania decyzji opracowane są wyłącznie dla niewielkiej grupy problemów charakteryzujących się względna prostotą. Dla zagadnień bardziej złożonych ogólny algorytm podejmowania decyzji nie istnieje. Z tego powodu automatyzacja i komputeryzacja procesu podejmowania decyzji napotyka znaczące trudności. Należy jednak zauważyć, że eksperci z dziedziny problemu są w stanie podjąć decyzję nawet w przypadkach systemów złożonych. Podejmowane decyzje mimo, że wielokrotnie nieoptymalne, pozwalają na rozwiązywanie rzeczywistych problemów z wystarczającą efektywnością. Niestety decyzje podejmowane przez ekspertów posiadają pewne ograniczenia właściwe ludzkiemu rozumowaniu i percepcji ludzkich zmysłów. Dodatkowo jakość podejmowanych decyzji zależy od doświadczenia, wiedzy i dyspozycji eksperta. W celu uniezależnienia procesu podejmowania decyzji od zmiennych czynników ludzkich przydatnym byłoby stworzenie komputerowego systemu wspomagającego analizowany proces. Pierwszym i podstawowy krokiem do stworzenia takiego systemu jest przyjęcie modelu procesu podejmowania decyzji. W opracowaniu zaprezentowano model rozmyty rozważanego procesu. Dzięki zastosowaniu modelu tej klasy możliwe stało się uwzględnienie przybliżonego charakteru rozumowania przeprowadzanego w trakcie procesu. Zastosowanie stworzonego modelu umożliwiło opracowanie oprogramowania wspomagającego proces podejmowania decyzji.
    The decision making process is one of the most important and complicated human activity. The process could be met during the analysis of different domains. Unfortunately, the algorithms of decision making are defined only for some kinds of the problems. In more complex and complicated cases the optimal and universal algorithm of decision making doesn't exists. All that reasons limits the possibility of decision making process computerisation. From the other hand the experts of the problem domain makes optimal or suboptimal decision. The quality of the decisions is high enough to drive sometimes very complicated systems with acceptable efficiency. So, it is possible to solve the problem of decision making using the human mind. But the human mind is limited for the number of input data point of view. Additionally the quality of decision depends on the experts' experience, knowledge and mood. Therefore the computerised system to support the decision making process is very wanted. The first step of the computerisation is the considered problem model creation. In the paper the fuzzy model of decision making process is presented. It enables to model the approximate character of the process. Implementation of the model makes the computerisation of the considered issue possible.
    Źródło:
    Journal of KONES; 2008, 15, 2; 319-328
    1231-4005
    2354-0133
    Pojawia się w:
    Journal of KONES
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Research of an omnidirectional mecanum-wheeledplatform with a fuzzy logic controller
    Autorzy:
    Typiak, A.
    Rykała, Ł.
    Powiązania:
    https://bibliotekanauki.pl/articles/245432.pdf
    Data publikacji:
    2018
    Wydawca:
    Instytut Techniczny Wojsk Lotniczych
    Tematy:
    FLC
    PID controller
    DC motor
    kinematics
    wheeled platforms
    mecanum wheel
    fuzzy logic
    kontroler PID
    silnik prądu stałego
    kinematyka
    platforma kołowa
    logika rozmyta
    Opis:
    This article presents the process of designing a fuzzy logic controller (FLC) to be applied in the control system for the tracking movement of an omnidirectional Mecanum-wheeled platform, where the tracking movement is defined as the execution of a specific movement of the omnidirectional Mecanum-wheeled platform along a preset path. The conventional PID controller, which is a popular choice for control systems, was replaced with a control algorithm featuring fuzzy logic elements. The findings from numerical testing of the control system with the applied FLC were compared with the results of numerical testing using a variant of a conventional PID controller. The comparison led to a feasibility study of the FLC for the kinematic control of the omnidirectional Mecanum-wheeled platform. The article compares the results of applying an FLC and a variant of a conventional PID controller for the tracking control of an omnidirectional-wheeled platform with mecanum wheels. It was assumed in this work that kinematic equations would be sufficient in this case to plan the trajectory (path) of a characteristic point for the omnidirectional-wheeled platform.
    Źródło:
    Journal of KONES; 2018, 25, 1; 423-432
    1231-4005
    2354-0133
    Pojawia się w:
    Journal of KONES
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
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